Radiomics Algortihm: A radiomics algorithm designed to distinguish retroperitoneal fibrosis from other retroperitoneal tumors and provide recommendations for clinical treatment decisions.
Study summary
A retrospective study utilizing archived CT scans of patients diagnosed with retroperitoneal fibrosis, sarcoma or other malignancies (i.e. lymphoma, germ cell tumors, metastasis, infections, ganglioneuromas) in order to implement a radiomics algorithm which is able to differentiate between these malignancies.
Eligibility
Sex
ALL
Min age
—
Max age
—
Healthy volunteers
No
Inclusion Criteria:
* Patients of any age or gender.
* CT scans confirming the presence of a retroperitoneal mass.
* Confirmed diagnosis of retroperitoneal fibrosis, sarcoma or other malignancies (i.e. lymphoma, germ cell tumors, metastasis, infections, ganglioneuromas) through pathology reports or clinical follow-up.
Exclusion Criteria:
* Poor quality CT scans where the region of interest is not clearly visible.
* Previous treatments or surgeries that might alter the radiomic features of the tumors.
Primary outcome measure(s)
Radiomic accuracy for retroperitoneal fibrosis — 6 months Accuracy of the algorithm in differentiating between retroperitoneal fibrosis and other retroperitoneal diseases
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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